For Mahindra Auto, artificial intelligence isn’t an experimental side project — it’s woven into the company’s core digital framework. From smart manufacturing lines and AI-powered copilots to software-defined vehicles and predictive maintenance, the automaker is embedding AI across its operations to improve efficiency, safety, and customer satisfaction.
AI at the Heart of Manufacturing
On the production floor, Mahindra is deploying AI systems for predictive maintenance, quality checks, and real-time production analytics. These tools help identify potential issues before they disrupt operations, keeping assembly lines running smoothly.
“In R&D, AI is helping speed up our design and development processes,” says Rucha Nanavati, Chief Digital Transformation Officer for Mahindra & Mahindra’s Automotive Division. “It’s also enabling more precision and efficiency in manufacturing.”
One successful initiative that has moved from trial to full-scale use is the introduction of generative AI-powered maintenance assistants. These digital tools help shop floor teams quickly trace the root cause of machine breakdowns, reducing downtime. Service centers are also using similar assistants to diagnose problems more accurately by referencing past repair data.
Mahindra has also embraced digital twin technology and machine learning models to boost productivity, enhance safety, and control costs. On the customer side, an innovative “Vehicle GPT” feature in the Mahindra app allows owners to get instant, conversational answers about their vehicle, from usage tips to service schedules.
Resilient Supply Chains and Intelligent Driving
AI is now integral to Mahindra’s supply chain strategy, enabling real-time decision-making through advanced analytics and agent-based systems. Predictive maintenance has already delivered measurable results, with a significant drop in unexpected downtime. AI also helps optimise inventory, a critical advantage in today’s unpredictable market.
On the road, Mahindra is equipping its next-generation electric SUVs with intelligent driving and advanced driver assistance system (ADAS) capabilities powered by its proprietary MAIA — Mahindra AI Architecture. Designed for Indian driving conditions, MAIA integrates data from multiple cameras and radars to improve safety and adaptability across varied road environments.
This AI platform is also central to Mahindra’s move toward software-defined vehicles, which are built to support continuous updates and evolving features over the vehicle’s lifetime.
Driving Sustainability with AI
Sustainability is another key focus. In Mahindra’s plants, AI agents track energy consumption patterns to ensure optimal usage without sacrificing production output. These systems also help monitor emissions and identify efficiency improvements, supporting the company’s environmental commitments.
Building Skills, Governance, and Trust
To scale AI effectively, Mahindra has established a dedicated AI division at the group level. This central hub shares expertise across business units, runs AI-focused workshops, and fosters a culture where business leaders — not just technology teams — champion adoption.
Strong governance underpins every deployment. Mahindra follows ethical, secure, and transparent AI principles, with human oversight built into processes. An AI governance council oversees audits, privacy protections, and secure-by-design implementations to ensure responsible use.
For organisations still stuck in the pilot stage, Nanavati’s advice is straightforward: “Tie your AI strategy directly to core business goals. Technology will keep evolving, so building a culture of continuous learning is essential.” She stresses the importance of solid data foundations, clear governance, and committed leadership. “Only then does AI become part of everyday operations — not just a side project.”
